期刊文献+

用复杂网络理论分析电网连锁性大停电事故机理 被引量:23

Applying complex network theory to analyze mechanism of cascading large blackouts failure
在线阅读 下载PDF
导出
摘要 针对世界上连续发生的电网连锁性大停电事故,论述了长期以来采用的还原法的思想方法已不完全适应对电网整体动态特性的研究。简述了复杂网络的基本概念;综述了应用复杂网络理论,对美国和中国电网大停电事故的部分数据统计分析的结果。发现电力系统的无标度特性:大停电的规模与出现的概率具有幂律特征,而电网的自组织临界性是发生连锁性大停电事故的内在动力。提出建立实时动态的全国沙堆模型,为预测大停电事故提供实时信息和应用复杂网络的控制理论对电网关键节点进行保护和控制,以缓解大停电事故发生的设想。 Aim at to take place continuously electric power grid cascading large blackout failure in the world, Reductionism throughway is discussed, which is used for long time and is already incompletely adapted to research whole dynamic characteristic of power system. The basic concept of the complex network was briefly introduced. Applying complex network theory, the statistic and analytical results of part data of large blackout to the American and the Chinese electric power grid were summarized. The scale-free characteristic of the electric power system was discovered. The scale of the large blackout and appear probability are with the characteristic of power law, and self-organized criticality (SOC) of electric power grid is inside drive dint of taking place cascading large blackout failure. To conceive of establishing real time dynamic sand pile models is put forward for the nationwide power grid, which can provide real time information for forecasting large blackout failure, and apply the control theories of the complex network to implement protection and control to the electric power grid key node, and alleviate to take place large blackout failure.
作者 丁道齐
出处 《中国电力》 CSCD 北大核心 2007年第11期25-32,共8页 Electric Power
关键词 连锁性大停电事故 复杂网络 幂律分布 无标度网络 自组织临界性 沙堆模型 cascading large blackout failure complex network power law scale-free network self-organized criticality (SOC) sand pile model
  • 相关文献

参考文献42

  • 1U.S.-Canada Power System Outage Task Force. Final report on the August 14 th blackout in the United States and Canada: causes and recommendations [EB/OL]. http://www.nerc.com/. 2004.
  • 2何大愚.一年以后对美加“8.14”大停电事故的反思[J].电网技术,2004,28(21):1-5. 被引量:181
  • 3WATTS D J, STROGATZ S H. Collective dynamics of ' small-world' networks [J]. Nature, 1998, 393 (6684): 440-442.
  • 4BARABaSI A L, ALBERT R. Emergence of scaling in random networks [J].Science, 1999, 286:509-512.
  • 5CARRERAS B A, NEWMAN D E, DOBSON I, et al. Initial evidence for self-organized criticality in electric power blackouts [ EB/OL ].http: //eceserv0.ece.wisc.edu/~dobson/PAPERS/carrerasHICSS00.pdf.
  • 6CHEN J, THORP J S, PARASHAR M. Analysis of electric power system disturbance data [C]//Thirty-fourth Hawaii International Conference on System Sciences. Maui, Hawaii, 2001:738-744.
  • 7CARRERAS B A, NEWMAN D E, DOBSON I, et al. Evidence for self organized criticality in electric power system blackouts [C]//Thirtyfourth Hawaii International Conference on System Sciences. Maui, Hawaii, 2001:705-709.
  • 8鲁宗相.电网复杂性及大停电事故的可靠性研究[J].电力系统自动化,2005,29(12):93-97. 被引量:79
  • 9周涛,傅忠谦,牛永伟,王达,曾燕,汪秉宏,周佩玲.复杂网络上传播动力学研究综述[J].自然科学进展,2005,15(5):513-518. 被引量:74
  • 10周涛,周佩玲,刘隽,汪秉宏.规则网络中的耗散级联动力学[J].复杂系统与复杂性科学,2005,2(1):18-23. 被引量:3

二级参考文献497

共引文献728

同被引文献442

引证文献23

二级引证文献477

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部